brucebismarck

algorithms-review

This repository are reviews of several algorithms

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

BERT-pytorch

BERT 源码阅读

Bow-to-Bert

Evolution of word vectors from long, sparse, and 1-hot to short, dense, and context sensitive

Coding_practice

coursera_deep_learning_hmwk

Homework solutions for Andrew Ng's Deep Learning course.

Kaggle-Bosch-Production-Line-Performance

learn_spark_on_databricks

learn spark on databricks

mapreduce-tutorial

Homework and projects from INLS626 Bigdata and NoSQL class

NMT

Neural Machine Translation with attention in both encoder and decoder

brucebismarck/coursera_deep_learning_hmwk

Homework solutions for Andrew Ng's Deep Learning course.

brucebismarck/learn_spark_on_databricks

learn spark on databricks

brucebismarck/mapreduce-tutorial

Homework and projects from INLS626 Bigdata and NoSQL class

brucebismarck/NMT

Neural Machine Translation with attention in both encoder and decoder

brucebismarck/BERT-pytorch

BERT 源码阅读

brucebismarck/Bow-to-Bert

Evolution of word vectors from long, sparse, and 1-hot to short, dense, and context sensitive

brucebismarck/Kaggle-Bosch-Production-Line-Performance

brucebismarck/algorithms-review

This repository are reviews of several algorithms

brucebismarck/amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

brucebismarck/Coding_practice

brucebismarck/Deep_Learning_Homework

This repository contains homework from Jojic's class and Mohit's class

brucebismarck/Experiment

brucebismarck/Golang_exercise

repo for golang exercises

brucebismarck/learn_stanford_tf

In this repo, I uploaded all assignments and exercises for further using.

brucebismarck/leetcode_python

Try to learn python via leetcode

brucebismarck/pandas_redshift

Load data from redshift into a pandas DataFrame and vice versa.

brucebismarck/pysurvival

Open source package for Survival Analysis modeling

brucebismarck/ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

brucebismarck/STOR_765_project

This repository is used for my STOR 765 Statistical consulting project. The topic of this project is linguistic phoneme clustering.

brucebismarck/transfer_learning_kaggle_furniture

kaggle furniture transfer learning task